Work

Initiatives at ZB MED and NFDI on metadata for software and AI models

Year: 2025

Type: article

Abstract: Semantic metadata for research artifacts makes it easier to realize the FAIR principles while also providing a good overview for humans and machines. Such metadata for scholarly articles is well-covered, with metadata about datasets also getting momentum. However, metadata for other research artifacts, e.g., software and Artificial Intelligence (AI) models, is not yet that frequently provided. We will present our ongoing work extending schema.org with metadata for software (compatible with Software Management Plans) and AI models, including tools making easier for researchers to share metadata for their own research artifacts.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17642990

Author: Castro, Leyla Jael

Institution: ZB MED - Information Centre for Life Sciences

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: Deutsche Forschungsgemeinschaft

Awards: NFDI4DS NFDI für Datenwissenschaften und Künstliche Intelligenz, G7679809651, Base4NFDI Basisdienste für die NFDI (NFDI4Earth)